Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Soofia Iftikhar"'
Autor:
Muhammad Umair Tariq, Muhammad Nouman Qureshi, Osama Abdulaziz Alamri, Soofia Iftikhar, Basim S.O. Alsaedi, Muhammad Hanif
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract In this article, we have proposed memory-type exponential and non-exponential estimators for population variance based on exponentially weighted moving average (EWMA) statistic in stratified sampling. We drive mathematical expressions for me
Externí odkaz:
https://doaj.org/article/508aae419fd74c85a67c15a11128efc3
Improvement in variance estimation using transformed auxiliary variable under simple random sampling
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract This paper offers a novel approach to formulate efficient ratio estimator of the population variance using a transformed auxiliary variable. The impact of transformation on auxiliary information has also been discussed. It is observed that i
Externí odkaz:
https://doaj.org/article/845fdd165f0440869f38b4816ad07afa
Autor:
Muhammad Nadeem Intizar, Muhammad Ahmed Shehzad, Haris Khurram, Soofia Iftikhar, Aamna Khan, Abdul Rauf Kashif
Publikováno v:
Heliyon, Vol 10, Iss 13, Pp e33969- (2024)
The endogeneity problem arises when the auxiliary variables correlate to the error terms. In such cases, appropriate instrumental variables ensure efficient estimation. Calibration has recognized itself as an important methodological tool at a large
Externí odkaz:
https://doaj.org/article/cb247501889248358c8caf70a144da96
Autor:
Muhammad Nouman Qureshi, Marwan H. Ahelali, Soofia Iftikhar, Amal Hassan, Osama Abdulaziz Alamri, Summaira Manzoor, Muhammad Hanif
Publikováno v:
Heliyon, Vol 10, Iss 11, Pp e32355- (2024)
Estimating dispersion in populations that are extremely rare, hidden, geographically clustered, and hard to access is a well-known challenge. Conventional sampling approaches tend to overestimate the variance, even though it should be genuinely reduc
Externí odkaz:
https://doaj.org/article/ce5981a42b9346a5996a9f6db14cc209
Publikováno v:
IEEE Access, Vol 12, Pp 82938-82948 (2024)
Companies and organizations aim to improve the performance of their business processes to stay competitive. Recently, researchers have shown significant interest in process mining, particularly its ability to extract accurate information from process
Externí odkaz:
https://doaj.org/article/79104f844934420eba406beaefbf584c
Publikováno v:
Heliyon, Vol 10, Iss 10, Pp e31529- (2024)
This paper contributes to the existing literature on variance estimators by utilizing supplementary information. The variance estimation problem of a finite population is a significant matter as sometimes, it is tough to control the variation. For th
Externí odkaz:
https://doaj.org/article/e200fca9a0394553aba7dd1108303ec4
Publikováno v:
Heliyon, Vol 10, Iss 10, Pp e31030- (2024)
Recently, several memory-type mean estimators (including ratio, product, and logarithmic) have been developed. These estimators rely on exponentially weighted moving average (EWMA), which incorporate both historical and present sample data. In this a
Externí odkaz:
https://doaj.org/article/2a15f4c396524781a16178ce2f275b02
Publikováno v:
Heliyon, Vol 10, Iss 10, Pp e31034- (2024)
Drawing inspiration from recent advancements in robust mean estimation within finite sampling theory, we introduce a novel dual-type class of mean estimators in a design-based framework. The dual-type class is based on quantile regression and is spec
Externí odkaz:
https://doaj.org/article/80922a444a894c8bbd2f38e63126d884
Autor:
Ashutosh Ashutosh, Marius Stefan, Piyush Kant Rai, Walid Emam, Soofia Iftikhar, Malik Muhammad Anas
Publikováno v:
Heliyon, Vol 10, Iss 6, Pp e26897- (2024)
In the real-world, there are various situations when all units are not accessible of the respondent called unit non-response. The effect of unit non-response is a tricky matter for estimating the total number of unit. The present work highlights the
Externí odkaz:
https://doaj.org/article/1464b18fa7254934bb943576980f560a
Publikováno v:
Axioms, Vol 13, Iss 9, p 585 (2024)
The Hotelling T2 statistic is used to compare the mean vectors of two independent multivariate Gaussian distributions. Nevertheless, this statistic is highly sensitive to outliers and is not suitable for high-dimensional datasets where the number of
Externí odkaz:
https://doaj.org/article/cf5697aba0be40cbab06c2f08f205a03